Collecting folium
Downloading folium-0.14.0-py2.py3-none-any.whl (102 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 102.3/102.3 kB 5.6 MB/s eta 0:00:00
Requirement already satisfied: requests in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from folium) (2.28.2)
Collecting branca>=0.6.0
Downloading branca-0.6.0-py3-none-any.whl (24 kB)
Requirement already satisfied: jinja2>=2.9 in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from folium) (3.1.2)
Requirement already satisfied: numpy in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from folium) (1.21.6)
Requirement already satisfied: MarkupSafe>=2.0 in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from jinja2>=2.9->folium) (2.1.1)
Requirement already satisfied: idna<4,>=2.5 in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from requests->folium) (3.4)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from requests->folium) (1.26.14)
Requirement already satisfied: charset-normalizer<4,>=2 in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from requests->folium) (2.1.1)
Requirement already satisfied: certifi>=2017.4.17 in /home/koinup4/anaconda3/envs/py37/lib/python3.7/site-packages (from requests->folium) (2022.12.7)
Installing collected packages: branca, folium
Successfully installed branca-0.6.0 folium-0.14.012주차(1) _ 1121
folium
- ref: folium
-Leaflet.js + Python \(\to\) folium
데이터전처리: 파이썬이용
시각화: Leaflet.js 이용
- Leaflet.js 란?
- 지리정보시각화를 위해 개발된 자바스크립트 라이브러리
- 이런 패키지특징: 사용방법을 익히기 어렵다.
- 메뉴얼이 정리되어 있지 않음
folium: 기본지도 그리기
folium.Map()
- global view
- 줌스크롤을 False 시키는 방법: scrollWheelZoom=False
- 이 옵션을 확인하려면? (1) 도움말 (2) folium 공식홈페이지 (3) Leaflet 공식홈페이지
Init signature: folium.Map( location=None, width='100%', height='100%', left='0%', top='0%', position='relative', tiles='OpenStreetMap', attr=None, min_zoom=0, max_zoom=18, zoom_start=10, min_lat=-90, max_lat=90, min_lon=-180, max_lon=180, max_bounds=False, crs='EPSG3857', control_scale=False, prefer_canvas=False, no_touch=False, disable_3d=False, png_enabled=False, zoom_control=True, **kwargs, ) Docstring: Create a Map with Folium and Leaflet.js Generate a base map of given width and height with either default tilesets or a custom tileset URL. The following tilesets are built-in to Folium. Pass any of the following to the "tiles" keyword: - "OpenStreetMap" - "Mapbox Bright" (Limited levels of zoom for free tiles) - "Mapbox Control Room" (Limited levels of zoom for free tiles) - "Stamen" (Terrain, Toner, and Watercolor) - "Cloudmade" (Must pass API key) - "Mapbox" (Must pass API key) - "CartoDB" (positron and dark_matter) You can pass a custom tileset to Folium by passing a :class:`xyzservices.TileProvider` or a Leaflet-style URL to the tiles parameter: ``http://{s}.yourtiles.com/{z}/{x}/{y}.png``. You can find a list of free tile providers here: ``http://leaflet-extras.github.io/leaflet-providers/preview/``. Be sure to check their terms and conditions and to provide attribution with the `attr` keyword. Parameters ---------- location: tuple or list, default None Latitude and Longitude of Map (Northing, Easting). width: pixel int or percentage string (default: '100%') Width of the map. height: pixel int or percentage string (default: '100%') Height of the map. tiles: str or TileLayer or :class:`xyzservices.TileProvider`, default 'OpenStreetMap' Map tileset to use. Can choose from a list of built-in tiles, pass a :class:`xyzservices.TileProvider`, pass a custom URL, pass a TileLayer object, or pass `None` to create a map without tiles. For more advanced tile layer options, use the `TileLayer` class. min_zoom: int, default 0 Minimum allowed zoom level for the tile layer that is created. max_zoom: int, default 18 Maximum allowed zoom level for the tile layer that is created. zoom_start: int, default 10 Initial zoom level for the map. attr: string, default None Map tile attribution; only required if passing custom tile URL. crs : str, default 'EPSG3857' Defines coordinate reference systems for projecting geographical points into pixel (screen) coordinates and back. You can use Leaflet's values : * EPSG3857 : The most common CRS for online maps, used by almost all free and commercial tile providers. Uses Spherical Mercator projection. Set in by default in Map's crs option. * EPSG4326 : A common CRS among GIS enthusiasts. Uses simple Equirectangular projection. * EPSG3395 : Rarely used by some commercial tile providers. Uses Elliptical Mercator projection. * Simple : A simple CRS that maps longitude and latitude into x and y directly. May be used for maps of flat surfaces (e.g. game maps). Note that the y axis should still be inverted (going from bottom to top). control_scale : bool, default False Whether to add a control scale on the map. prefer_canvas : bool, default False Forces Leaflet to use the Canvas back-end (if available) for vector layers instead of SVG. This can increase performance considerably in some cases (e.g. many thousands of circle markers on the map). no_touch : bool, default False Forces Leaflet to not use touch events even if it detects them. disable_3d : bool, default False Forces Leaflet to not use hardware-accelerated CSS 3D transforms for positioning (which may cause glitches in some rare environments) even if they're supported. zoom_control : bool, default True Display zoom controls on the map. **kwargs Additional keyword arguments are passed to Leaflets Map class: https://leafletjs.com/reference.html#map Returns ------- Folium Map Object Examples -------- >>> m = folium.Map(location=[45.523, -122.675], width=750, height=500) >>> m = folium.Map(location=[45.523, -122.675], tiles="cartodb positron") >>> m = folium.Map( ... location=[45.523, -122.675], ... zoom_start=2, ... tiles="https://api.mapbox.com/v4/mapbox.streets/{z}/{x}/{y}.png?access_token=mytoken", ... attr="Mapbox attribution", ... ) File: ~/anaconda3/envs/py37/lib/python3.7/site-packages/folium/folium.py Type: type Subclasses:
- location과 scale을 조정하는 방법
35.8475, 127.1305 # 전북대 자연대 본관
35.8468, 127.1294 # 전북대 분수대
Make this Notebook Trusted to load map: File -> Trust Notebook
Make this Notebook Trusted to load map: File -> Trust Notebook
- tiles 옵션을 주어서 지도의 외형을 변경하여 보자.
tiles=“OpenStreetMap”
tiles=“Stamen Terrain”, tiles=“Stamen Toner”, tiles=“Stamen Watercolor”
tiles=
"CartoDB positron", tiles=“CartoDB dark_matter”
folium: 기본지도 위에 마커 추가
folium.Marker()
- 마커생성
folium.Marker 는 클래스
folium.Map 도 클래스
마커에 팝업내용 추가
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.Marker(
location = [35.8475,127.1305], # 자연대본관
popup = "JBNU"
)
home = folium.Marker(
location = [35.8368, 127.1118], # 서신동
popup = "HOME",
tooltip = "클릭해주세요"
)
jbnu.add_to(m)
home.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
마커의 아이콘 변경
- folium.Marker()에서 icon=folium.Icon(color=‘red’,icon=‘university’,prefix=‘fa’) 와 같은 식으로 옵션을 추가
icon=‘university’ 대신에 `street-view’,‘tree’,‘plane’,‘bell’ 등을 추가할 수 있음.
아이콘들은 여기 참고. ’glyphicon glyphicon-” 부분을 제외한 문자열을 넣으면 된다.
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.Marker(
location = [35.8475,127.1305], # 자연대본관
icon=folium.Icon(color='red',icon='university',prefix='fa'),
popup = "JBNU"
)
home = folium.Marker(
location = [35.8368, 127.1118], # 서신동
popup = "HOME",
tooltip = "클릭해주세요"
)
jbnu.add_to(m)
home.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
마커의 팝업내용 HTML넣기(1)
- “JBNU” 대신에 "<h2> JBNU </h2><br>"
- “HOME” 대신에 "<h5> HOME </h5><br>"
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.Marker(
location = [35.8475,127.1305], # 자연대본관
icon=folium.Icon(color='red',icon='university',prefix='fa'),
popup = "<h2> JBNU </h2><br>"
)
home = folium.Marker(
location = [35.8368, 127.1118], # 서신동
popup = "<h5> HOME </h5><br>",
tooltip = "클릭해주세요"
)
jbnu.add_to(m)
home.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
마커의 팝업내용 HTML넣기(2)
- 데이터프레임을 HTML로 바꾸어서 넣기
| year | students | |
|---|---|---|
| 0 | 2019 | 35 |
| 1 | 2020 | 30 |
| 2 | 2021 | 33 |
| 3 | 2022 | 26 |
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.Marker(
location = [35.8475,127.1305], # 자연대본관
icon=folium.Icon(color='red',icon='university',prefix='fa'),
popup = _df.to_html()
)
home = folium.Marker(
location = [35.8368, 127.1118], # 서신동
popup = "<h5> HOME </h5><br>" + _df.to_html(),
tooltip = "클릭해주세요"
)
jbnu.add_to(m)
home.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
마커의 팝업내용 HTML넣기(3)
데이터프레임을 HTML로 바꾸어서 넣어보자.
팝업시 크기를 조절할 수 있게 해보자. (folium.IFrame, folium.Popup 이용)
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.Marker(
location = [35.8475,127.1305], # 자연대본관
icon=folium.Icon(color='red',icon='university',prefix='fa'),
popup = _popup
)
home = folium.Marker(
location = [35.8368, 127.1118], # 집
popup = "<h5> HOME </h5><br>",
tooltip = "클릭해주세요"
)
jbnu.add_to(m)
home.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
마커의 팝업내용 HTML넣기(4)
논리구조상 HTML 오브젝트를 아무거나 넣을 수 있음 \(\to\) 그림도 넣을 수 있을까?
그림파일을 HTML로 바꾸어서 넣어보자.
_files/figure-html/cell-25-output-1.png)
Signature: fig.savefig(fname, *, transparent=None, **kwargs) Docstring: Save the current figure. Call signature:: savefig(fname, *, dpi='figure', format=None, metadata=None, bbox_inches=None, pad_inches=0.1, facecolor='auto', edgecolor='auto', backend=None, **kwargs ) The available output formats depend on the backend being used. Parameters ---------- fname : str or path-like or binary file-like A path, or a Python file-like object, or possibly some backend-dependent object such as `matplotlib.backends.backend_pdf.PdfPages`. If *format* is set, it determines the output format, and the file is saved as *fname*. Note that *fname* is used verbatim, and there is no attempt to make the extension, if any, of *fname* match *format*, and no extension is appended. If *format* is not set, then the format is inferred from the extension of *fname*, if there is one. If *format* is not set and *fname* has no extension, then the file is saved with :rc:`savefig.format` and the appropriate extension is appended to *fname*. Other Parameters ---------------- dpi : float or 'figure', default: :rc:`savefig.dpi` The resolution in dots per inch. If 'figure', use the figure's dpi value. format : str The file format, e.g. 'png', 'pdf', 'svg', ... The behavior when this is unset is documented under *fname*. metadata : dict, optional Key/value pairs to store in the image metadata. The supported keys and defaults depend on the image format and backend: - 'png' with Agg backend: See the parameter ``metadata`` of `~.FigureCanvasAgg.print_png`. - 'pdf' with pdf backend: See the parameter ``metadata`` of `~.backend_pdf.PdfPages`. - 'svg' with svg backend: See the parameter ``metadata`` of `~.FigureCanvasSVG.print_svg`. - 'eps' and 'ps' with PS backend: Only 'Creator' is supported. bbox_inches : str or `.Bbox`, default: :rc:`savefig.bbox` Bounding box in inches: only the given portion of the figure is saved. If 'tight', try to figure out the tight bbox of the figure. pad_inches : float, default: :rc:`savefig.pad_inches` Amount of padding around the figure when bbox_inches is 'tight'. facecolor : color or 'auto', default: :rc:`savefig.facecolor` The facecolor of the figure. If 'auto', use the current figure facecolor. edgecolor : color or 'auto', default: :rc:`savefig.edgecolor` The edgecolor of the figure. If 'auto', use the current figure edgecolor. backend : str, optional Use a non-default backend to render the file, e.g. to render a png file with the "cairo" backend rather than the default "agg", or a pdf file with the "pgf" backend rather than the default "pdf". Note that the default backend is normally sufficient. See :ref:`the-builtin-backends` for a list of valid backends for each file format. Custom backends can be referenced as "module://...". orientation : {'landscape', 'portrait'} Currently only supported by the postscript backend. papertype : str One of 'letter', 'legal', 'executive', 'ledger', 'a0' through 'a10', 'b0' through 'b10'. Only supported for postscript output. transparent : bool If *True*, the Axes patches will all be transparent; the Figure patch will also be transparent unless *facecolor* and/or *edgecolor* are specified via kwargs. If *False* has no effect and the color of the Axes and Figure patches are unchanged (unless the Figure patch is specified via the *facecolor* and/or *edgecolor* keyword arguments in which case those colors are used). The transparency of these patches will be restored to their original values upon exit of this function. This is useful, for example, for displaying a plot on top of a colored background on a web page. bbox_extra_artists : list of `~matplotlib.artist.Artist`, optional A list of extra artists that will be considered when the tight bbox is calculated. pil_kwargs : dict, optional Additional keyword arguments that are passed to `PIL.Image.Image.save` when saving the figure. File: ~/anaconda3/envs/py37/lib/python3.7/site-packages/matplotlib/figure.py Type: method
- 저장한 그림파일을 HTML로 바꾸기 위해서 base64 가져오기
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.Marker(
location = [35.8475,127.1305], # 자연대본관
icon=folium.Icon(color='red',icon='university',prefix='fa'),
popup = _popup
)
home = folium.Marker(
location = [35.8368, 127.1118], # 집
popup = "<h5> HOME </h5><br>",
tooltip = "클릭해주세요"
)
jbnu.add_to(m)
home.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
folium.CircleMarker()
- 서클마커 생성
Init signature: folium.CircleMarker( location=None, radius=10, popup=None, tooltip=None, **kwargs, ) Docstring: A circle of a fixed size with radius specified in pixels. See :func:`folium.vector_layers.path_options` for the `Path` options. Parameters ---------- location: tuple[float, float] Latitude and Longitude pair (Northing, Easting) popup: string or folium.Popup, default None Input text or visualization for object displayed when clicking. tooltip: str or folium.Tooltip, default None Display a text when hovering over the object. radius: float, default 10 Radius of the circle marker, in pixels. **kwargs Other valid (possibly inherited) options. See: https://leafletjs.com/reference.html#circlemarker File: ~/anaconda3/envs/py37/lib/python3.7/site-packages/folium/vector_layers.py Type: type Subclasses:
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.CircleMarker(
location = [35.8475,127.1305],
popup = "JBNU"
)
jbnu.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
서클마커의 색상 및 크기 변경
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.CircleMarker(
location = [35.8475,127.1305],
popup = "JBNU",
radius = 20,
color='red'
)
jbnu.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
서클마커 테두리 삭제 및 fill
m = folium.Map(
scrollWheelZoom=False,
location = [35.8475,127.1305], # 자연대본관
zoom_start=14,
tiles="CartoDB positron"
)
jbnu = folium.CircleMarker(
location = [35.8475,127.1305],
popup = "JBNU",
radius = 20,
color=None,
fill=True,
fill_color='blue'
)
jbnu.add_to(m)
mMake this Notebook Trusted to load map: File -> Trust Notebook
folium: heatmap
folium.plugins.HeatMap()
- Heatmap은 폴리움에서 데이터 시각화를 하기에 적합한 기본도구임
hetmap : 변수가 nx3(or2)의 형태로 저장되어야함. 위치정보, 색깔
array([[26.90395013, 76.67048321],
[25.8497742 , 78.11586853],
[25.9457691 , 76.38304552],
[26.92593912, 77.28038385],
[25.5991387 , 73.78185956],
[27.3230456 , 81.43696204],
[29.148638 , 77.10700642],
[30.67602261, 77.54824301],
[28.54287701, 75.90813103],
[27.58172922, 74.17403175],
[30.49801026, 75.01214148],
[29.13382765, 79.22643318],
[28.01915992, 77.16029599],
[26.77686428, 72.68952163],
[26.75485743, 73.9484101 ],
[23.98161607, 70.57320764],
[28.34373122, 76.12772879],
[27.59842471, 79.05475651],
[30.44317469, 74.30593407],
[30.37148679, 77.59831078],
[30.85907885, 79.21582417],
[27.09252368, 78.40493264],
[32.42220863, 76.50265661],
[25.28967556, 79.93875523],
[25.23525815, 75.94602496],
[29.14062166, 76.81364822],
[26.4371104 , 78.74836501],
[24.8546951 , 76.4959588 ],
[29.65245395, 78.08582716],
[24.8009876 , 79.0652865 ]])Init signature: folium.plugins.HeatMap( data, name=None, min_opacity=0.5, max_zoom=18, radius=25, blur=15, gradient=None, overlay=True, control=True, show=True, **kwargs, ) Docstring: Create a Heatmap layer Parameters ---------- data : list of points of the form [lat, lng] or [lat, lng, weight] The points you want to plot. You can also provide a numpy.array of shape (n,2) or (n,3). name : string, default None The name of the Layer, as it will appear in LayerControls. min_opacity : default 1. The minimum opacity the heat will start at. max_zoom : default 18 Zoom level where the points reach maximum intensity (as intensity scales with zoom), equals maxZoom of the map by default radius : int, default 25 Radius of each "point" of the heatmap blur : int, default 15 Amount of blur gradient : dict, default None Color gradient config. e.g. {0.4: 'blue', 0.65: 'lime', 1: 'red'} overlay : bool, default True Adds the layer as an optional overlay (True) or the base layer (False). control : bool, default True Whether the Layer will be included in LayerControls. show: bool, default True Whether the layer will be shown on opening (only for overlays). File: ~/anaconda3/envs/py37/lib/python3.7/site-packages/folium/plugins/heat_map.py Type: type Subclasses:
folium: heatmap animation
folium.plugins.HeatMapWithTime()
예제: earthquakes
Step1: Pandas 정리
| Date | Latitude | Longitude | Magnitude | |
|---|---|---|---|---|
| 0 | 01/02/1965 | 19.2460 | 145.6160 | 6.0 |
| 1 | 01/04/1965 | 1.8630 | 127.3520 | 5.8 |
| 2 | 01/05/1965 | -20.5790 | -173.9720 | 6.2 |
| 3 | 01/08/1965 | -59.0760 | -23.5570 | 5.8 |
| 4 | 01/09/1965 | 11.9380 | 126.4270 | 5.8 |
| ... | ... | ... | ... | ... |
| 23407 | 12/28/2016 | 38.3917 | -118.8941 | 5.6 |
| 23408 | 12/28/2016 | 38.3777 | -118.8957 | 5.5 |
| 23409 | 12/28/2016 | 36.9179 | 140.4262 | 5.9 |
| 23410 | 12/29/2016 | -9.0283 | 118.6639 | 6.3 |
| 23411 | 12/30/2016 | 37.3973 | 141.4103 | 5.5 |
23412 rows × 4 columns
0 01/02/1965
1 01/04/1965
2 01/05/1965
3 01/08/1965
4 01/09/1965
...
23407 12/28/2016
23408 12/28/2016
23409 12/28/2016
23410 12/29/2016
23411 12/30/2016
Name: Date, Length: 23412, dtype: object| Date | Latitude | Longitude | Magnitude | Year | |
|---|---|---|---|---|---|
| 0 | 01/02/1965 | 19.2460 | 145.6160 | 6.0 | 1965 |
| 1 | 01/04/1965 | 1.8630 | 127.3520 | 5.8 | 1965 |
| 2 | 01/05/1965 | -20.5790 | -173.9720 | 6.2 | 1965 |
| 3 | 01/08/1965 | -59.0760 | -23.5570 | 5.8 | 1965 |
| 4 | 01/09/1965 | 11.9380 | 126.4270 | 5.8 | 1965 |
| ... | ... | ... | ... | ... | ... |
| 23407 | 12/28/2016 | 38.3917 | -118.8941 | 5.6 | 2016 |
| 23408 | 12/28/2016 | 38.3777 | -118.8957 | 5.5 | 2016 |
| 23409 | 12/28/2016 | 36.9179 | 140.4262 | 5.9 | 2016 |
| 23410 | 12/29/2016 | -9.0283 | 118.6639 | 6.3 | 2016 |
| 23411 | 12/30/2016 | 37.3973 | 141.4103 | 5.5 | 2016 |
23412 rows × 5 columns
array(['1965', '1966', '1967', '1968', '1969', '1970', '1971', '1972',
'1973', '1974', '1975', '1975-02-23T02:58:41.000Z', '1976', '1977',
'1978', '1979', '1980', '1981', '1982', '1983', '1984', '1985',
'1985-04-28T02:53:41.530Z', '1986', '1987', '1988', '1989', '1990',
'1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998',
'1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006',
'2007', '2008', '2009', '2010', '2011', '2011-03-13T02:23:34.520Z',
'2012', '2013', '2014', '2015', '2016'], dtype=object)df.assign(Year = list(map(lambda x: x.split('/')[-1], df.Date)))\
.assign(Year = lambda df: list(map(lambda x: x.split('-')[0], df.Year)))| Date | Latitude | Longitude | Magnitude | Year | |
|---|---|---|---|---|---|
| 0 | 01/02/1965 | 19.2460 | 145.6160 | 6.0 | 1965 |
| 1 | 01/04/1965 | 1.8630 | 127.3520 | 5.8 | 1965 |
| 2 | 01/05/1965 | -20.5790 | -173.9720 | 6.2 | 1965 |
| 3 | 01/08/1965 | -59.0760 | -23.5570 | 5.8 | 1965 |
| 4 | 01/09/1965 | 11.9380 | 126.4270 | 5.8 | 1965 |
| ... | ... | ... | ... | ... | ... |
| 23407 | 12/28/2016 | 38.3917 | -118.8941 | 5.6 | 2016 |
| 23408 | 12/28/2016 | 38.3777 | -118.8957 | 5.5 | 2016 |
| 23409 | 12/28/2016 | 36.9179 | 140.4262 | 5.9 | 2016 |
| 23410 | 12/29/2016 | -9.0283 | 118.6639 | 6.3 | 2016 |
| 23411 | 12/30/2016 | 37.3973 | 141.4103 | 5.5 | 2016 |
23412 rows × 5 columns
df.assign(Year = list(map(lambda x: x.split('/')[-1], df.Date)))\
.assign(Year = lambda df: list(map(lambda x: x.split('-')[0], df.Year))).Year.unique()array(['1965', '1966', '1967', '1968', '1969', '1970', '1971', '1972',
'1973', '1974', '1975', '1976', '1977', '1978', '1979', '1980',
'1981', '1982', '1983', '1984', '1985', '1986', '1987', '1988',
'1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996',
'1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004',
'2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012',
'2013', '2014', '2015', '2016'], dtype=object)Step2: folium
숙제
지진자료에서 1985년 이후의 자료만 고른뒤에 HeatMapWithTime()을 이용하여 시각화하라.
12주차(2)_1123
px.scatter_geo
세계지도 그리기
세계지도 + 버블
- 예시1
| lat | lon | size | |
|---|---|---|---|
| 0 | 37 | 127 | 100 |
| 1 | 0 | 0 | 5 |
- 예시2
Gapminder data 시각화
- Gapminder data: 국가별 기대수명, 1인당 GDP, 인구에 대한 데이터
- 특징: 연도별로 정리가 되어있다.
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1699 | Zimbabwe | Africa | 1987 | 62.351 | 9216418 | 706.157306 | ZWE | 716 |
| 1700 | Zimbabwe | Africa | 1992 | 60.377 | 10704340 | 693.420786 | ZWE | 716 |
| 1701 | Zimbabwe | Africa | 1997 | 46.809 | 11404948 | 792.449960 | ZWE | 716 |
| 1702 | Zimbabwe | Africa | 2002 | 39.989 | 11926563 | 672.038623 | ZWE | 716 |
| 1703 | Zimbabwe | Africa | 2007 | 43.487 | 12311143 | 469.709298 | ZWE | 716 |
1704 rows × 8 columns
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 11 | Afghanistan | Asia | 2007 | 43.828 | 31889923 | 974.580338 | AFG | 4 |
| 23 | Albania | Europe | 2007 | 76.423 | 3600523 | 5937.029526 | ALB | 8 |
| 35 | Algeria | Africa | 2007 | 72.301 | 33333216 | 6223.367465 | DZA | 12 |
| 47 | Angola | Africa | 2007 | 42.731 | 12420476 | 4797.231267 | AGO | 24 |
| 59 | Argentina | Americas | 2007 | 75.320 | 40301927 | 12779.379640 | ARG | 32 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 1655 | Vietnam | Asia | 2007 | 74.249 | 85262356 | 2441.576404 | VNM | 704 |
| 1667 | West Bank and Gaza | Asia | 2007 | 73.422 | 4018332 | 3025.349798 | PSE | 275 |
| 1679 | Yemen, Rep. | Asia | 2007 | 62.698 | 22211743 | 2280.769906 | YEM | 887 |
| 1691 | Zambia | Africa | 2007 | 42.384 | 11746035 | 1271.211593 | ZMB | 894 |
| 1703 | Zimbabwe | Africa | 2007 | 43.487 | 12311143 | 469.709298 | ZWE | 716 |
142 rows × 8 columns
px.scatter_geo(
data_frame = df.query('year==2007'),
locations = 'iso_alpha',
size = 'pop',
color = 'continent' # 국가
)- x,y 좌표 잡기
- 크기
- color
- 시간
…..
px.scatter_geo + animation
px.scatter_geo(
data_frame = df,
locations = 'iso_alpha',
size = 'pop',
color = 'continent',
animation_frame = 'year'
)px.scatter_geo(
data_frame = df,
projection = 'natural earth',
locations= 'iso_alpha',
size='pop',
color='continent',
animation_frame='year'
)- 코로플레스 맵